Key Technologies of Anomaly Detection Using PCA-LSTM.
Zhongshi GaoYang SuYi DingYudong LiuXu An WangJunwei ShenPublished in: IMIS (2019)
Keyphrases
- key technologies
- anomaly detection
- principal component analysis
- tensor analysis
- sparse pca
- detecting anomalies
- intrusion detection
- anomalous behavior
- face recognition
- network traffic
- principle component analysis
- network intrusion detection
- intrusion detection system
- recurrent neural networks
- dimensionality reduction
- computer security
- unsupervised anomaly detection
- independent component analysis
- unsupervised learning
- network anomaly detection
- network security
- detecting anomalous
- feature extraction
- one class support vector machines
- probabilistic model
- malware detection
- high dimensional
- feature space
- negative selection algorithm
- neural network
- reinforcement learning
- detect anomalies
- k means
- behavior analysis